Wright Aidan G C
University of Pittsburgh.
Personal Disord. 2017 Jan;8(1):14-25. doi: 10.1037/per0000216.
The major debates in the personality disorder (PD) field center on the structure of personality pathology. Factor analysis is designed to elucidate the underlying structure of observed phenomena. Therefore, factor analysis has already played a major role in the debates about the structure of PD, and will continue to be an often-used and indispensable tool moving forward. However, misconceptions about the utility and interpretation of factor analyses abound. The purpose of this article is to provide a conceptual primer on available factor analytic techniques and how they have been applied in PD research, and to highlight novel ways of using factor analysis moving forward. The techniques reviewed include exploratory and confirmatory factor analysis, exploratory structural equation modeling, multilevel structural equation modeling, and person-specific (i.e., P-technique) factor analysis. Additionally, the notion that exploratory and confirmatory factor analytic approaches lie on an exploratory to confirmatory spectrum is introduced. Examples from the published literature are used to illustrate key points. (PsycINFO Database Record
人格障碍(PD)领域的主要争论集中在人格病理学的结构上。因子分析旨在阐明观察到的现象的潜在结构。因此,因子分析在关于PD结构的争论中已经发挥了重要作用,并将继续成为未来常用且不可或缺的工具。然而,关于因子分析的效用和解释存在许多误解。本文的目的是提供一份关于可用因子分析技术及其在PD研究中的应用方式的概念性入门指南,并强调未来使用因子分析的新方法。所回顾的技术包括探索性和验证性因子分析、探索性结构方程建模、多层次结构方程建模以及针对个体(即P技术)的因子分析。此外,还介绍了探索性和验证性因子分析方法处于从探索到验证的连续谱这一概念。文中使用已发表文献中的例子来说明要点。(PsycINFO数据库记录)